Real questions from top companies
Writing Excel sheets to Delta tables in Databricks
You are given 10 worker machines with 100 GB RAM and 25 CPU cores. How would you determine the number of executors and the size of each executor?
Your Kafka producer schema has changed, and the new data includes additional fields. How would you ensure backward compatibility using Schema Registry while consuming data from the same topic?
Z-Ordering - use cases for partitioned Delta tables
Architect a solution to handle notifications for millions of users with varying preferences.
Build a banking system architecture from scratch, highlighting critical workflows, scalability, and data management strategies.
Business Role of Data Pipeline
CAP Theorem
CI/CD implementation across environments (DEV, QA, UAT, PreProd, PROD)
Can Schema Evolution lead to data inconsistencies? If so, how do you manage them?
Compare Native vs Cloud Database Systems.
Data Volume in Pipelines and Scalability Solutions
Demonstrate system design principles applied to BI solutions.
Describe a data pipeline you built and optimized.
Describe a fault-tolerant distributed data processing system.
Describe a strategy for implementing a real-time content delivery monitoring system.
Describe a system design to handle product launches with massive traffic spikes.
Describe an end-to-end data pipeline project you worked on, highlighting your role and the technologies used.
Describe handling schema evolution in AWS Redshift without downtime.
Describe how Kafka ensures data durability and fault tolerance.
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